
Loading

Loading
We use strictly necessary cookies to run this site, and analytics cookies to understand how it's used. See our Privacy Policy for details.

Kanishka Narayan, a tech strategy expert and former global advisor, urges organizations to proactively build "defense in depth" for AI systems through rigorous pre-deployment reviews, layered safeguards, comprehensive training, transparency, and cross-sector collaboration.
Summary
She stresses treating AI risk management as an ongoing governance priority rather than waiting for regulation.
This is a brief wire summary — the full story (linked below) has the complete details.
KazaSec's take
AI-related security incidents are a genuinely new category — prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 106 other articles touching the same topic (top news, ai risk management, ai governance) — see the full security news archive.
Relevant from KazaSec
More coverage on this topic
We help organizations find and fix the gaps before they make headlines.